Why You Need to Compare Supplier Quotations on a Normalised Sheet
Two quotes for the same hoodie land on the desk before a costing review, and one is forty cents lower on FOB. The question in the room is whether the cheaper supplier is simply cheaper, or whether the two documents are quoting different products. To compare supplier quotations properly, you first have to make them describe the same thing: the same fabric specification, the same test requirements, the same packing, the same delivery point, the same payment terms and the same quantity.
Quotes hide differences in four places. The fabric may be quoted at a different weight, composition or finish. Services such as lab testing, labelling and cartons may be included by one supplier and excluded by the other. The Incoterm may differ, so that one price stops at the factory gate and the other at the port. And the price says nothing about how often that supplier delivers on time or ships garments that pass inspection. A supplier quotation comparison that ignores any of these four is comparing a number, not an offer.
The sections below follow the order in which the work is normally done: specification and tests first, then commercial terms, then Incoterm and origin charges, then evidence of past performance. The worked example later in the page applies all four steps to two invented quotes and shows how the cheaper FOB can turn out the more expensive supplier. If you are new to the term, our guide to FOB price in clothing manufacturing covers what the figure normally includes.
The Quote Normalisation Process in Five Steps
Quote normalisation means restating every quote on the same basis, using your own specification as the reference. The process below works for a single style or a programme, and it is deliberately mechanical so that two people on the buying team would arrive at the same answer.
Quote normalisation, step by step
- 1Fix the referenceWrite the specification, test list, packing standard, quantity split and delivery point that both suppliers must price against.
- 2Restate each quoteMove every quoted line onto that reference and mark each assumption the supplier made that differs from it.
- 3Price the gapsAsk each supplier to quote the missing items, or add your own estimate and label it as an estimate.
- 4Add the landed costAdd origin charges, freight, insurance and any other cost that sits outside the quoted price, to reach comparable landed cost.
- 5Adjust for riskLayer lead time, payment terms and defect history on top, and record the effect separately so it is visible.
Keep each adjustment on its own line. A buyer who cannot see where the gap closed cannot defend the decision.
The most useful discipline is to keep the supplier's original figures untouched in one column and put every adjustment in a separate, labelled column. That way the review meeting can challenge an assumption without having to rebuild the sheet, and a revised quote only changes one cell.
Normalise Fabric Specification and Test Requirements
Fabric is usually the largest single cost line, so a small difference in specification can account for the whole gap between two quotes. Before you compare supplier quotations on price, confirm that both are quoting your fabric: the same composition, the same weight in GSM, the same construction and the same finish. For a hoodie, that means stating whether the fleece is brushed or loopback, the yarn type, any pre-treatment such as enzyme or silicone softening, and the rib and trim specification. Our guide to hoodie fabric weights and constructions explains why a weight figure alone does not define a fabric.
Test requirements are the second half of this step. A supplier who prices in a laboratory test programme, such as dimensional stability, colourfastness and pilling, is quoting a different job from one who assumes you will arrange and pay for testing yourself. Test methods are published by standards bodies such as ISO, AATCC and BS EN; check the latest version and which method your own programme requires, and state the pass criteria in the request, not afterwards. Our guide to shrinkage and colour fastness testing lists what to ask for.
Specification and test items to align before comparing prices
| Item | What to align | Typical way quotes diverge |
|---|---|---|
| Fabric composition | Fibre blend stated as a percentage, with the tolerance your programme allows | One quote assumes a cheaper blend or a lower-grade yarn |
| Fabric weight | GSM with the measurement method and tolerance | One quote is built on a lighter weight than your specification |
| Construction and finish | Brushed or loopback, pre-treatment, softener, wash or enzyme step | A finishing step is omitted or priced as an extra |
| Rib, cuffs and trims | Rib composition, drawcord, eyelets, zip or puller, labels | Trims are quoted as standard generic items rather than the specified ones |
| Decoration and wash | Print, embroidery or garment wash method and number of positions | Decoration is quoted per position, or not at all |
| Tests and pass criteria | Which tests, which method, who pays, and the pass criteria set by the buyer | Testing is excluded, or limited to supplier in-house checks |
| Tolerances | Measurement tolerances and shade tolerance against the approved sample | Different tolerances change yield and rejection rates |
A checklist for normalising the product basis of a quote. Specification limits and pass criteria depend on the programme and should be agreed with each supplier in writing.
A practical way to cut the work is to send both suppliers the same specification sheet and a quotation template with the same line headings. Where the replies still differ, the difference is the finding: an item one supplier included and the other did not, or a substitution that needs your approval. The fuller background on building that specification is in our tech pack guide.
Check MOQ, Lead Time, Packing and Payment Terms
Once the product is the same, the commercial terms need to be the same too. Four terms change the effective price of a quote without appearing in the unit price: the minimum order quantity, the lead time, the packing and the payment schedule. Each should be written into the normalisation sheet as a line, even where it does not carry a cost, because a term that cannot be priced can still disqualify a quote.
Minimum order quantity
Compare the minimum per style and per colour, and ask whether the unit price changes below a quantity break. A low minimum is useful for testing a new style but may carry a higher unit price or a surcharge on fabric lots. Our explainer on MOQ in clothing manufacturing covers the fabric and production drivers behind these minimums.
Lead time
State which clock you are comparing. A lead time quoted from purchase order, from approved pre-production sample, or from fabric arrival are three different numbers. Normalise on one definition, such as days from confirmed purchase order and deposit to ex-factory date, and ask what the supplier assumes about approval turnaround. Our guide to clothing production lead times breaks the calendar down by stage.
Packing and labelling
Check polybags, hangtags, sticker labels, carton marking, carton size and the folding method. Packing that is excluded from one quote usually reappears later as an invoice line or as extra work in your own warehouse.
Payment terms
Payment terms move cash earlier or later, and the difference has a cost even when the price is the same. A larger deposit, or payment in full before shipment, ties up working capital for longer than payment against shipping documents. For the usual structures, see our guide to clothing manufacturer payment terms.
Commercial terms to record for every quote
| Term | Question to ask | How it affects comparison |
|---|---|---|
| MOQ per style and colour | Is it a quantity per colour, per style or per fabric lot? What happens below it? | May add a surcharge or rule a supplier out of a test order |
| Price breaks | At what quantities does the unit price change? | Compare at your real order quantity, not the best break |
| Lead time basis | Counted from PO, deposit, approved sample or fabric arrival, and to which date? | Different clocks make equal-looking lead times unequal |
| Sample and development charges | Are samples charged, credited against the order or free? | Can add a fixed cost that disappears on a larger order |
| Packing and labelling | What is included: polybag, hangtag, labels, cartons, carton marking? | Excluded items become extra cost or extra internal work |
| Payment schedule | Deposit size, balance trigger and document requirements? | Changes the cost of money and the exposure if the order goes wrong |
| Quote validity | How long is the price held and what indexes it, such as fabric or currency? | A short validity makes the quote hard to compare with a later one |
A recording template. Terms are negotiable and vary by factory, product and order size; the questions matter more than any default answer.
Confirm the Incoterm and Origin Charges
The Incoterm tells you which costs sit inside the price and where risk passes from seller to buyer. Two prices are only comparable when they refer to the same Incoterm at the same named place. A quote on FCA or EXW terms excludes costs that a quote on FOB terms includes, and a quote on CIF terms includes freight that neither of the others does. Incoterms rules are published by the ICC; check the current edition and have your forwarder or customs broker confirm what each term means for your shipment.
Origin charges are the costs between the factory gate and the vessel: inland transport to the port, export clearance, terminal handling and documentation. When one supplier quotes FOB and the other quotes on a term that stops earlier, the earlier-term quote needs an origin charge added before the two can be compared. Ask your forwarder for a quote for those items rather than guessing. Our page on Incoterms for jeans orders applies the same terms to a different garment, and the principles carry over.
What each common Incoterm usually covers
| Incoterm | Seller typically covers | Buyer typically covers | Add to the quote |
|---|---|---|---|
| EXW (ex works) | Goods made available at the factory | Loading, inland transport, export clearance, main freight, insurance, import | Origin charges, freight, insurance |
| FCA (free carrier) | Goods handed to the buyer's carrier at the named place, export-cleared | Main freight, insurance, import | Freight, insurance, any terminal charges |
| FOB (free on board) | Goods loaded on the vessel at the named port, export-cleared | Main freight, insurance, import | Freight, insurance |
| CIF (cost, insurance, freight) | Freight and minimum insurance to the named destination port | Import clearance and charges at destination, inland delivery | Destination charges, plus check the insurance cover |
| DDP (delivered duty paid) | Delivery to the named place, including import clearance | Little beyond receiving the goods | Confirm what is excluded and who is the importer of record |
A general guide to how the terms are commonly understood. Obligations depend on the edition of the rules cited in the contract and on the named place; confirm with your forwarder or customs broker.
Duty and import VAT are the other costs that need a line on the sheet. Do not copy a rate from a quote or from this page: check the UK Trade Tariff for the commodity code and origin, or ask your customs broker. Because customs value can include freight and insurance, an origin or term difference can move the duty base as well as the logistics cost. Our guide to importing clothing from Bangladesh to the UK explains the documents and steps involved.
Evaluate Delivery and Quality History Alongside Price
A normalised price tells you what the order will cost if everything goes to plan. The final step is to judge how likely that is. Delivery and quality history convert a price into an expected outcome, and they are the part of a supplier quotation comparison that most teams skip because the data lives in different places.
Use your own records first. On-time-in-full performance, measured as the share of order lines or units delivered by the agreed date in the agreed quantity, and the defect rate from your inspections, are more reliable than any claim in a quote. If the supplier is new to you, there is no history, and the honest entry on the sheet is "no data", which is itself a risk to price in. A pilot order is the usual way to create evidence; see test and scale manufacturing for one risk-reduction model, which reduces exposure but does not remove it.
How much weight each source of evidence deserves
1 dot = low, 5 dots = high
| Predictive value | Effort to obtain | Risk of being one-sided | |
|---|---|---|---|
| Your own OTIF and inspection records | ●●●●● | ●●●●● | ●●●●● |
| Sample-to-bulk consistency on a pilot order | ●●●●● | ●●●●● | ●●●●● |
| Third-party audit and inspection reports | ●●●●● | ●●●●● | ●●●●● |
| Supplier-provided references | ●●●●● | ●●●●● | ●●●●● |
| Statements made in the quote | ●●●●● | ●●●●● | ●●●●● |
Indicative ratings for how far each source predicts future delivery and quality. They are a judgement aid, not measurements.
Defect rate needs a definition before it can be compared. It can mean the share of inspected units failing at final inspection against an AQL sampling plan, or the share of units returned or claimed after delivery. These are different numbers. Pick one, apply it to both suppliers and state it. Our guide to AQL inspection explains the sampling standard. For a repeatable way to turn delivery, quality and responsiveness into a score across seasons, see the supplier scorecard guide.
Worked Illustration: Two Quotes for the Same Hoodie
The example below is entirely illustrative. The suppliers, prices, charges and defect rates are invented to show the method; they are not benchmarks, market data or real quotes. The product is a brushed-back fleece hoodie in an 80/20 cotton-polyester blend at 380 GSM, ordered at 3,000 units across three colours of 1,000 units each. Supplier A quotes the lower FOB; Supplier B quotes the higher one.
Illustrative assumptions for the example
| Item | Supplier A | Supplier B |
|---|---|---|
| Quoted price | USD 9.20 per unit, on FCA factory terms | USD 9.60 per unit, on FOB port terms |
| Fabric basis | Quoted at 360 GSM; 380 GSM requested at USD 0.35 extra | Quoted at 380 GSM as specified |
| Lab tests | Excluded; estimated at USD 0.15 per unit when spread over the order | Included |
| Packing | Hangtags and carton marking excluded; estimated at USD 0.08 per unit | Included |
| Origin charges | Excluded; estimated at USD 0.12 per unit | Included in FOB |
| Ocean freight and insurance | Assumed identical: USD 0.45 plus USD 0.02 per unit | Assumed identical: USD 0.45 plus USD 0.02 per unit |
| Duty and import VAT | Assumed identical and left out of the arithmetic so the comparison stays visible | Assumed identical and left out of the arithmetic |
| Payment schedule | 50% deposit at PO, 50% before shipment | 30% deposit at PO, 70% against shipping documents |
| Lead time (PO to ex-factory) | 80 days | 70 days |
| Defect rate from the buyer's own history | 4% (illustrative) | 1.5% (illustrative) |
All figures are hypothetical inputs for the worked example. In a real sheet, insert the duty rate from the UK Trade Tariff and use quoted or forwarder-confirmed figures for every estimate.
Applying the steps gives the normalisation sheet below. The first column is the quoted FOB, the next lines restate the quote to your specification, and the last lines add the landed items. Read the final row of this table first: after normalising, the supplier with the lower quoted FOB is the more expensive one by USD 0.30 per unit, which is USD 900 across the 3,000 units.
Illustrative side-by-side normalisation sheet (USD per unit)
| Line | Supplier A | Supplier B | Gap (A minus B) |
|---|---|---|---|
| Quoted price | 9.20 | 9.60 | -0.40 |
| Fabric brought to 380 GSM | +0.35 | 0.00 | +0.35 |
| Subtotal at specified fabric | 9.55 | 9.60 | -0.05 |
| Lab tests added | +0.15 | 0.00 | +0.15 |
| Packing and labelling added | +0.08 | 0.00 | +0.08 |
| Subtotal at equal scope | 9.78 | 9.60 | +0.18 |
| Origin charges added | +0.12 | 0.00 | +0.12 |
| Ocean freight | +0.45 | +0.45 | 0.00 |
| Insurance | +0.02 | +0.02 | 0.00 |
| Comparable landed cost | 10.37 | 10.07 | +0.30 |
| Order value at 3,000 units | 31,110 | 30,210 | +900 |
Duty and import VAT excluded because they are assumed identical. Arithmetic: A is 9.20 + 0.35 + 0.15 + 0.08 + 0.12 + 0.45 + 0.02 = 10.37; B is 9.60 + 0.45 + 0.02 = 10.07.
The headline gap of USD 0.40 in A's favour disappears at the second line, because A priced a lighter fabric. By the time the excluded tests and packing are added, A is already more expensive, and origin charges widen the gap. Nothing in this sheet says A is a poor supplier; it says the quote was not an offer for the same product at the same delivery point.
Risk-Adjusted View: Payment, Lead Time and Defect Rate
Comparable landed cost is the right base, but two further adjustments show the full picture: the cost of the cash tied up by the payment schedule, and the cost of defective units. Both are simplifications, and both should be labelled as such on the sheet.
For payment, assume an illustrative cost of capital of 10% a year. Supplier A's schedule puts half the money out at purchase order, 80 days before ex-factory, so on average the cash leaves 0.5 x 80 = 40 days before shipment. Supplier B puts 30% out at purchase order, 70 days before ex-factory, and the rest after shipping documents, so the average is 0.3 x 70 = 21 days. Applied to the supplier-paid value (9.55 for A, 9.60 for B), the cost of money is about USD 0.10 for A and USD 0.06 for B per unit.
For defects, a simple way to express quality in cost is cost per good unit: comparable landed cost divided by one minus the defect rate. This assumes defective units are written off and not credited, which is the harsh case. A real claim or rework agreement would soften it, so treat the result as an upper bound for the penalty.
Illustrative risk-adjusted comparison (USD per unit)
| Line | Supplier A | Supplier B | Gap (A minus B) |
|---|---|---|---|
| Comparable landed cost | 10.37 | 10.07 | +0.30 |
| Cost of money on the payment schedule | +0.10 | +0.06 | +0.04 |
| Landed cost including payment terms | 10.47 | 10.13 | +0.34 |
| Defect rate used (illustrative) | 4% | 1.5% | 2.5 points |
| Cost per good unit | 10.91 | 10.28 | +0.63 |
| Order value at 3,000 good units | 32,730 | 30,840 | +1,890 |
| Lead time, PO to ex-factory | 80 days | 70 days | +10 days |
Illustrative arithmetic only. Cost of money is supplier-paid value times average days divided by 365 times the assumed rate; cost per good unit is landed cost with payment, divided by one minus the defect rate.
Illustrative cost per unit as each adjustment is applied (USD)
Quoted price, then comparable landed cost, then cost per good unit
Illustrative worked example only; the inputs are hypothetical. The bar order shows how the ranking reverses once the quotes are put on one basis.
The result is not that one supplier is universally better. It is that the cheaper quote becomes the dearer outcome once scope, delivery point, payment and quality are priced in. Ten more days of lead time is a further cost that this sheet does not price; for a seasonal product it can be the deciding factor on its own.
Comparable Landed Cost, Lead Time and Defect Rate: The KPIs Explained
Three measures carry any decision to compare supplier quotations, and each needs a definition that both suppliers and your own team apply in the same way. Write the definition on the sheet, because definitions vary between retailers and between teams.
KPIs for comparing supplier quotations
| KPI | Definition and formula | How to use it |
|---|---|---|
| Comparable landed cost | Quoted price, plus specification adjustments, plus excluded services, plus origin charges, freight, insurance, duty and import costs, on the same basis for each supplier. Landed cost is not FOB: it is FOB plus everything needed to land the goods. | Rank suppliers on this, never on the quoted FOB; keep the cost of money and the cost per good unit as separate lines |
| Lead time | Days between a defined start event and a defined end event, such as confirmed PO and deposit to ex-factory date. State both ends. Compare actual delivery dates in your history as well as quoted ones. | Compare on one definition; add the effect of a late or early arrival on the selling window |
| Defect rate | Defective units divided by units inspected, at a stated stage and against a stated AQL plan. A returns rate after delivery is a separate measure. | Apply the same definition to both suppliers; use it to compute cost per good unit, and monitor it by delivery after the first order |
| On time in full (OTIF) | Share of order lines or units delivered by the agreed date in the agreed quantity. State whether you count lines or units. | Use alongside lead time to judge whether quoted dates are credible |
Definitions vary by retailer and team; the important point is to use one definition consistently across suppliers and seasons.
How to Decide: What to Do With the Result
With the sheet complete, the decision to compare supplier quotations usually falls into one of three outcomes. Where one supplier is clearly lower on comparable landed cost and equal or better on lead time and defect history, award on that basis. Where the costs are close, award by risk: the supplier with the stronger delivery and quality evidence, or split the order to keep both live. Where a supplier has no history, treat the order as a pilot and set the gates for a larger allocation before the order is placed.
In the illustrative example, Supplier B's defect rate would have to rise to about 7.1% before Supplier A's cost per good unit (10.91) was the lower one, holding every other input fixed. Equally, a negotiated reduction in A's quote, a different packing standard or a confirmed shorter payment schedule could close the gap. Monitor comparable landed cost, lead time against actual and defect rate by delivery; if any moves, rerun the sheet.
Whatever the outcome, send the normalised sheet back to both suppliers in a form they can respond to. A supplier who sees which of its assumptions made the quote incomparable can correct it quickly, and the exchange often improves the offer without a harder negotiation. For negotiation levers that do not cut quality, see our guide on how to negotiate FOB price without reducing quality.
Common Mistakes When You Compare Supplier Quotations
When teams compare supplier quotations in a hurry, the same handful of errors account for most bad awards. They are easy to avoid once the sheet exists, because each one corresponds to a line that is blank or mis-filled.
- Comparing quoted FOB against a quote on a different Incoterm or at a different named place.
- Accepting a quote built on a lighter fabric, then discovering the difference at the first bulk fabric delivery.
- Treating test costs, labelling and carton marking as someone else's job, so they are absent from both the quote and the budget.
- Using the best price break instead of the quantity you will actually order.
- Ignoring payment terms, which can move working capital more than a small unit-price difference.
- Comparing quoted lead times without checking what clock they start from or how they performed last season.
- Using a supplier's own statement of its defect rate, not your inspection records, as the quality measure.
Before the quotes go into the award meeting
- Both quotes priced against the same written specification and test list.
- Same Incoterm and named place, or origin charges added for the quote that stops earlier.
- Packing, labelling, samples and decoration confirmed as in or out for each quote.
- Duty and import costs taken from the UK Trade Tariff or your broker, not copied from the quote.
- Payment schedule and lead time clock recorded for each supplier.
- Delivery and defect history sourced from your own records, or flagged as no data.
- Every estimate on the sheet labelled as an estimate, with the person who supplied it.
A pre-meeting check. Add lines for your own programme, such as sustainability documentation or social compliance evidence.
Given your last two quotes, which line on the normalisation sheet would have changed the ranking if you had filled it in before the award?
How Ruhrose Approaches Quotation Comparison
Ruhrose develops and produces hoodies, jersey, denim and woven casualwear in Bangladesh, with UK buyer support. When we quote, we start from your specification and state what is and is not included, so the numbers can go straight into your own normalisation sheet. We sample before bulk, we do not hide testing or packing inside a vague line, and we would rather answer your Incoterm and payment questions at quote stage than after the order. If you are weighing two hoodie offers, our guide to comparing two hoodie suppliers quoting different FOBs applies this method to a single category, and our overview of the cost of changing suppliers covers what a switch can add.